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TAKE CONTROL, Private data lakehouse fully owned by you

Work with your data, no matter where it is using AWS Databricks

AWS Databricks is a serverless data lakehouse platform that lets you run all your SQL and BI applications at scale with performance, a unified governance model, open formats, and no lock-in

Visit the AWS Databricks site for more product information.

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Step one

Create Data Destination

Openbridge automates creating a fully-managed AWS Databricks destination allowing to securely unify and harness more data, from more sources, in less time, and at a lower cost.

Step Two

Activate Data Pipeline

Unify sales data from Amazon Seller Central, marketing data from Instagram, Facebook, Amazon Advertising, or Google Ads to your private, secure, cloud based AWS Databricks destination.

Step Three

Explore Your Data

AWS Databricks turbocharges tools like Tableau, Microsoft Power BI, Looker, Amazon QuickSight, and many others with reliable, integrated data automation.

Need details about Amazon Databricks?

In-depth Amazon Databricks definitions, solutions, and guides.

Documentation
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Fully-automated, code-free

Data pipelines to your optimized Amazon Databricks data destination

Our code-free, zero administration data service delivers cost savings and performance gains for Amazon Databricks. Our service automates data pipeline service you don’t need to worry about configuration, software updates, failures, or scaling infrastructure as your datasets and number of users grow.

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Freedom from vendor lock-in

Connect leading data visualization, reporting, analytic, or data science tools

Amazon Databricks supports a broad range of options for business intelligence and data visualization data tools. As a result of our analytics-ready approach, our service ensures you are up and running faster with your favorite business intelligence, data visualization, SQL, or data science tools. Take advantage of an open, on-demand data architecture so you can fuel tools like Looker Studio, Tableau, Microsoft Power BI, Looker, Amazon QuickSight, SAP, Alteryx, dbt, Azure Data Factory, Qlik Sense and many others.

"Thanks to Openbridge, we can tap previously hard to access data at our fingertips. Our global team can get the data they need, on the fly, with their favorite tools like Tableau."

Private & Trusted Data Destinations
Private. Trusted. Owned

Your Amazon Databricks data is always owned by you

Our customers retain complete control and ownership over their data. Data is always stored in a private, trusted data lake, data lakehouse, or cloud warehouse in a region of their choosing, ensuring you have the information they need to fuel the tools their teams love to use.

Amazon Databricks Inspiration

See how it all comes together

Take things to the next level, get inspired, and go faster with insightful Amazon Databricks learning resources for data-driven teams.

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Data Lakes? Big Myths About Architecture, Strategy, and Analytics

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How To Create A Data Lake In Azure

Three simple steps show you how to create Azure Data Lake Storage Gen2 data destinations for insights and analytics.

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Databricks Lakehouse Best Practices

When to use Databricks Lakehouse and what role should it play in a modern data architecture.

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Amazon Releases New Selling Partner API (SP-API)

Amazon SP-API automates delivers updated approach for automated operations, analytics, and seller insights.

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Snowflake CREATE Warehouse

This is an easy-to-understand starting point in anyone’s journey to better learn Snowflake data warehouse setup and operations.

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4 Steps To Create a Serverless Analytics Stack

Combining the simplicity of Tableau, a data lake, and the power of AWS, Athena can deliver a cost-efficient, high-performance data lake architecture.

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